Machine derived contents note: Product realization in the global marketplace. Motivation and consumer behaviour. Enterprise model. Definition of quality. Forecasting the value of future products. Total quality management. Product planning and quality deployment. Parameter and tolerance design. Significance of results. Costs. Statistical quality control. Case study one: NIB1 single attribute thin film. Case study two: NIB2 problems. Case study three: LIB problems. Case study four: Significance testing multiple attribute problems. Case study five: Error analysis for direct value (DV) method. Case study six: Use of the direct value (DV) method when considering multiple attributes jointly. Appendix A: probability and statistics. Appendix B: design of experiments
